Russian Federation
Russian Federation
Russian Federation
UDK 614.8 Несчастные случаи, их опасность, профилактика и борьба с ними
The article considers the issues of solving the problem of the distribution of fire and rescue equipment between territorial divisions under resource constraints. The advantages and disadvantages of the simplex method in solving this problem are analyzed. An optimization model and an algorithm for the distribution of equipment are proposed, in which the satisfaction of the needs of territorial divisions is taken as an objective function instead of the traditionally used indicator of economic benefit. It is proved that the distribution model, taking into account the relative needs of the units, turns out to be more rational for the distribution of fire and rescue equipment than the linear programming model.
model, fire-rescue equipment, fire-rescue unit, distribution, need, limitation
1. Primenenie metodov sistemnogo analiza pri issledovanii deyatel'nosti pozharno-spasatel'nyh podrazdelenij / N.V. Martinovich [i dr.] // Internet-zhurnal Naukovedenie. 2015. T. 7. № 6 (31). S. 119. DOI:https://doi.org/10.15862/86TVN615. EDN VOBHHT.
2. Chernyh A.K., Budanov D.S. Modelirovanie raspredeleniya sil i sredstv podrazdelenij gosudarstvennoj protivopozharnoj sluzhby MCHS Rossii na gazotransportnoj sisteme // Prirodnye i tekhnogennye riski (fiziko-matematicheskie i prikladnye aspekty). 2015. № 4 (16). S. 24-31. EDN WKRBPT.
3. Chernyh A.K. Yashin M.G. Elementy optimizacii v plane tekhnicheskogo prikrytiya ob"ektov na kommunikaciyah // Special'naya tekhnika i tekhnologii transporta. 2020. № 6 (44). S. 188-198. EDN MIXAUC.
4. Korneev A.M., Lavruhina T.V., Smetannikova T.A. Reshenie zadachi optimal'nogo raspredeleniya resursov MCHS metodom dinamicheskogo programmirovaniya // Tendencii razvitiya nauki i obrazovaniya. 2021. № 71-1. S. 20-24. DOI:https://doi.org/10.18411/lj-03-2021-05. EDN ZYEAFY.
5. Zajchenko Yu.S., Shkunov S.A., Tarakanov D.V. Issledovanie informacionno-analiticheskoj modeli prinyatiya reshenij po pereosnashcheniyu parka osnovnyh pozharnyh avtomobilej v territorial'nyh pozharno-spasatel'nyh garnizonah: materialy XXIX Mezhdunar. nauch.-prakt. konf., posvyashch. 80-letiyu FGBU VNIIPO MCHS Rossii. Balashiha: VNIIPO MCHS Rossii, 2017. S. 465-469. EDN ZFGFTJ.
6. Matveev A.V. Metody modelirovaniya i prognozirovaniya. SPb.: S.-Peterb. un-t GPS MCHS Rossii, 2022. 230 s. ISBN 978-5-907116-73-3. EDN IMLKWS.
7. Maximov A.V., Matveev A.V., Zavodskov G.N. Mathematical emergency response model of rescue services // Journal of Physics: Conference Series. International Conference on Automatics and Energy, ICAE 2021. 2021. P. 012124. EDN AWGTVT.
8. Metodika opredeleniya potrebnosti pozharno-spasatel'nyh podrazdelenij v pozharnoj tekhnike, oborudovanii i pozharno-tekhnicheskom vooruzhenii / N.V. Martinovich [i dr.] // Internet-zhurnal Naukovedenie. 2015. T. 7. № 6 (31). S. 120. DOI:https://doi.org/10.15862/85TVN615. EDN VOBHID.
9. Zhou J., Tu C., Reniers G. Simulation analysis of fire truck scheduling strategies for fighting oil fires // Journal of Loss Prevention in the Process Industries. 2020. Vol. 67. P. 104205.
10. Ghasemi P., Babaeinesami A. Simulation of fire stations resources considering the downtime of machines: A case study // Journal of Industrial Engineering and Management Studies. 2020. Vol. 7. № 1. P. 161-176.
11. Biological-based genetic algorithms for optimized disaster response resource allocation / J.S. Chou [et al.] // Computers & Industrial Engineering. 2014. Vol. 74. P. 52-67.
12. Butyrskij E.Yu., Matveev A.V. Matematicheskoe modelirovanie sistem i processov. SPb.: Inf. izd. ucheb.-nauch. centr «Strategiya budushchego», 2022. 733 s. ISBN 978-5-4268-0064-9. DOI:https://doi.org/10.37468/book_011222. EDN CCRIRT.
